Clean code test_HR notebook

trinhgiahuy · Oct 24, 2022 · 434198e · 434198e
1 parent 08ce448
commit 434198e
Showing 1 changed file with 6 additions and 76 deletions.
diff --git a/1_measure_files/Automatic_subj_training-test_HR.ipynb b/1_measure_files/Automatic_subj_training-test_HR.ipynb
@@ -124,7 +124,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9bd581cf",
+   "id": "48fdef95",
    "metadata": {},
    "source": [
     "## Defilne parser function"
@@ -133,7 +133,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "48b9ab0d",
+   "id": "e95b0608",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -195,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 19,
    "id": "9be7b2e8",
    "metadata": {
     "scrolled": true
@@ -208,16 +208,6 @@
       "The time step now should be  2\n",
       "5 input features included: speed, speedChange, stepDuration, vertOscillation_dist_amp, heart rate\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "'    \\nlist_test=[]\\nfor i in range(len(test)):\\n    test[i]=np.transpose(np.array(test[i]))\\n    list_test.append(test[i])\\n\\nfor j in range(len(test2)):  \\n    test2[j]=np.transpose(np.array(test2[j]))\\n    list_test.append(test2[j])  \\n\\n    \\nprint(np.shape(list_test))\\nlist_test=np.vstack(list_test)\\nprint(np.shape(list_test))\\nscaler = StandardScaler()\\nscaler=scaler.fit(list_test)\\nscaled_list_test=scaler.transform(list_test)\\nprint(np.shape(scaled_list_test))\\nXT_s_stack=list()\\ni=0\\nwhile i+50 <= (len(scaled_list_test)):\\n    XT_s_stack.append(scaled_list_test[i:i+50])\\n    i=i+50\\n\\n\\nXT_s_stack=np.stack(XT_s_stack)\\n\\ncutPoint=np.shape(TTest.reshape(-1))[0]\\n\\nXTrain_s=XT_s_stack[:-cutPoint,:,:]\\nXTest_s=XT_s_stack[-cutPoint:,:,:]\\n\\nTest=np.transpose(TTest)\\n\\nprint(np.shape(XTrain_s))\\n'"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -267,49 +257,12 @@
     "# Automatically setting name of output files based on configuration    \n",
     "modelSaveName=confPrefix+'Subj-'+subjectID+'-'+str(noEpochs)+'pochs-'+orderedPrefix+str(noLSTMUnits)+'-LSTM_u.h5'\n",
     "figPredictName=confPrefix+'Subj'+subjectID+'-'+str(noEpochs)+'pochs-'+orderedPrefix+str(noLSTMUnits)+'-LSTM_u.jpg'\n",
-    "figRMSEName=confPrefix+'RMSE_Subj'+subjectID+'-'+str(noEpochs)+'pochs-'+orderedPrefix+str(noLSTMUnits)+'-LSTM_u.jpg'\n",
-    "    \n",
-    "\"\"\"    \n",
-    "list_test=[]\n",
-    "for i in range(len(test)):\n",
-    "    test[i]=np.transpose(np.array(test[i]))\n",
-    "    list_test.append(test[i])\n",
-    "\n",
-    "for j in range(len(test2)):  \n",
-    "    test2[j]=np.transpose(np.array(test2[j]))\n",
-    "    list_test.append(test2[j])  \n",
-    "\n",
-    "    \n",
-    "print(np.shape(list_test))\n",
-    "list_test=np.vstack(list_test)\n",
-    "print(np.shape(list_test))\n",
-    "scaler = StandardScaler()\n",
-    "scaler=scaler.fit(list_test)\n",
-    "scaled_list_test=scaler.transform(list_test)\n",
-    "print(np.shape(scaled_list_test))\n",
-    "XT_s_stack=list()\n",
-    "i=0\n",
-    "while i+50 <= (len(scaled_list_test)):\n",
-    "    XT_s_stack.append(scaled_list_test[i:i+50])\n",
-    "    i=i+50\n",
-    "\n",
-    "\n",
-    "XT_s_stack=np.stack(XT_s_stack)\n",
-    "\n",
-    "cutPoint=np.shape(TTest.reshape(-1))[0]\n",
-    "\n",
-    "XTrain_s=XT_s_stack[:-cutPoint,:,:]\n",
-    "XTest_s=XT_s_stack[-cutPoint:,:,:]\n",
-    "\n",
-    "Test=np.transpose(TTest)\n",
-    "\n",
-    "print(np.shape(XTrain_s))\n",
-    "\"\"\""
+    "figRMSEName=confPrefix+'RMSE_Subj'+subjectID+'-'+str(noEpochs)+'pochs-'+orderedPrefix+str(noLSTMUnits)+'-LSTM_u.jpg'"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "ef14c7b6",
+   "id": "b4c78ae0",
    "metadata": {},
    "source": [
     "## Call parser function"
@@ -318,7 +271,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "56a0b4b5",
+   "id": "3d2a27fe",
    "metadata": {},
    "outputs": [
     {
@@ -2656,29 +2609,6 @@
     "#model.save('1st-stage-subj-1.h5')"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "83113186",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print(TTest.shape)\n",
-    "# print(XTest.shape)\n",
-    "# print(XTrain.shape)\n",
-    "# print(TTrain.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "2f475c68",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# print(TTest)"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 18,